Reporte Suicidios

Dataset statistics

Number of variables	55
Number of observations	19329
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.8 MiB
Average record size in memory	801.4 B

Variable types

NUM	25
CAT	24
DATE	5
BOOL	1

Warnings

`EDAD_TIPO` has constant value "19329"	Constant
`COD_MENOR` has constant value "19329"	Constant
`EDAD_CANT` has a high cardinality: 96 distinct values	High cardinality
`DESC_COMUNA` has a high cardinality: 221 distinct values	High cardinality
`DIAG1` has a high cardinality: 180 distinct values	High cardinality
`DIAG2` has a high cardinality: 189 distinct values	High cardinality
`COMUNA` is highly correlated with `REG_RES`	High correlation
`REG_RES` is highly correlated with `COMUNA`	High correlation
`DIA_NAC.1` is highly correlated with `DIA_NAC`	High correlation
`DIA_NAC` is highly correlated with `DIA_NAC.1`	High correlation
`MES_NAC.1` is highly correlated with `MES_NAC`	High correlation
`MES_NAC` is highly correlated with `MES_NAC.1`	High correlation
`ANO1` is highly correlated with `ANO_DEF` and 2 other fields	High correlation
`ANO_DEF` is highly correlated with `ANO1` and 2 other fields	High correlation
`ANO2` is highly correlated with `ANO_DEF` and 2 other fields	High correlation
`DIA_DEF.1` is highly correlated with `DIA_DEF`	High correlation
`DIA_DEF` is highly correlated with `DIA_DEF.1`	High correlation
`MES_DEF.1` is highly correlated with `MES_DEF`	High correlation
`MES_DEF` is highly correlated with `MES_DEF.1`	High correlation
`ANO_DEF.1` is highly correlated with `ANO_DEF` and 2 other fields	High correlation
`difb` is highly correlated with `difa` and 1 other fields	High correlation
`difa` is highly correlated with `difb` and 1 other fields	High correlation
`difc` is highly correlated with `difa` and 1 other fields	High correlation
`mes_suicidio` is highly correlated with `dist_absoluta` and 1 other fields	High correlation
`dist_absoluta` is highly correlated with `mes_suicidio` and 1 other fields	High correlation
`bimestre` is highly correlated with `dist_absoluta` and 1 other fields	High correlation
`RENGOETARIO_N` is highly correlated with `EDAD_CANT` and 2 other fields	High correlation
`EDAD_CANT` is highly correlated with `RENGOETARIO_N` and 2 other fields	High correlation
`RANGO ETARIO` is highly correlated with `EDAD_CANT` and 2 other fields	High correlation
`EDAD_LABORAL` is highly correlated with `EDAD_CANT` and 2 other fields	High correlation
`ESTACION` is highly correlated with `ESTACION N`	High correlation
`ESTACION N` is highly correlated with `ESTACION`	High correlation
`SUBTIPO_MEC` is highly correlated with `MEC_SUICIDA`	High correlation
`MEC_SUICIDA` is highly correlated with `SUBTIPO_MEC`	High correlation
`AÑONACIM` is highly skewed (γ1 = -33.87992814)	Skewed
`CURSO_INS` has 611 (3.2%) zeros	Zeros

Reproduction

Analysis started	2020-09-18 15:48:37.738316
Analysis finished	2020-09-18 15:50:02.678069
Duration	1 minute and 24.94 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

DIA_NAC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	32
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.567541
Minimum	0
Maximum	31
Zeros	2
Zeros (%)	< 0.1%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	31
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.768529562
Coefficient of variation (CV)	0.5632572005
Kurtosis	-1.184671108
Mean	15.567541
Median Absolute Deviation (MAD)	8
Skewness	0.0258259228
Sum	300905
Variance	76.88711068
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
10	771	4.0%
1	735	3.8%
15	729	3.8%
20	711	3.7%
5	670	3.5%
25	668	3.5%
6	666	3.4%
8	663	3.4%
7	649	3.4%
17	644	3.3%
18	642	3.3%
26	635	3.3%
9	628	3.2%
16	618	3.2%
24	617	3.2%
11	615	3.2%
22	614	3.2%
28	609	3.2%
27	605	3.1%
2	605	3.1%
19	605	3.1%
14	601	3.1%
12	600	3.1%
4	600	3.1%
13	597	3.1%
Other values (7)	3232	16.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	735	3.8%
2	605	3.1%
3	567	2.9%
4	600	3.1%
5	670	3.5%
6	666	3.4%
7	649	3.4%
8	663	3.4%
9	628	3.2%

Value	Count	Frequency (%)
31	320	1.7%
30	574	3.0%
29	592	3.1%
28	609	3.2%
27	605	3.1%
26	635	3.3%
25	668	3.5%
24	617	3.2%
23	592	3.1%
22	614	3.2%

MES_NAC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.734699157
Minimum	0
Maximum	12
Zeros	2
Zeros (%)	< 0.1%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.463052509
Coefficient of variation (CV)	0.5142104241
Kurtosis	-1.206179845
Mean	6.734699157
Median Absolute Deviation (MAD)	3
Skewness	-0.1191701935
Sum	130175
Variance	11.99273268
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
10	1829	9.5%
9	1809	9.4%
8	1754	9.1%
12	1729	8.9%
11	1701	8.8%
1	1609	8.3%
6	1565	8.1%
7	1538	8.0%
3	1483	7.7%
5	1477	7.6%
4	1424	7.4%
2	1409	7.3%
0	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	1609	8.3%
2	1409	7.3%
3	1483	7.7%
4	1424	7.4%
5	1477	7.6%
6	1565	8.1%
7	1538	8.0%
8	1754	9.1%
9	1809	9.4%

Value	Count	Frequency (%)
12	1729	8.9%
11	1701	8.8%
10	1829	9.5%
9	1809	9.4%
8	1754	9.1%
7	1538	8.0%
6	1565	8.1%
5	1477	7.6%
4	1424	7.4%
3	1483	7.7%

AÑONACIM
Real number (ℝ_≥0)

SKEWED

Distinct	98
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1968.855347
Minimum	0
Maximum	2007
Zeros	1
Zeros (%)	< 0.1%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1936
Q1	1957
median	1971
Q3	1984
95-th percentile	1993
Maximum	2007
Range	2007
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	22.72503537
Coefficient of variation (CV)	0.01154225749
Kurtosis	2913.941136
Mean	1968.855347
Median Absolute Deviation (MAD)	13
Skewness	-33.87992814
Sum	38056005
Variance	516.4272325
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1989	448	2.3%
1986	448	2.3%
1987	445	2.3%
1988	438	2.3%
1985	419	2.2%
1980	409	2.1%
1983	409	2.1%
1979	408	2.1%
1981	402	2.1%
1973	398	2.1%
1975	396	2.0%
1982	393	2.0%
1984	389	2.0%
1964	386	2.0%
1991	385	2.0%
1962	383	2.0%
1966	381	2.0%
1974	381	2.0%
1965	378	2.0%
1967	378	2.0%
1990	371	1.9%
1968	365	1.9%
1961	365	1.9%
1971	362	1.9%
1972	350	1.8%
Other values (73)	9442	48.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1905	1	< 0.1%
1907	1	< 0.1%
1909	1	< 0.1%
1910	1	< 0.1%
1912	4	< 0.1%
1914	3	< 0.1%
1915	6	< 0.1%
1916	6	< 0.1%
1917	7	< 0.1%

Value	Count	Frequency (%)
2007	1	< 0.1%
2004	4	< 0.1%
2003	10	0.1%
2002	13	0.1%
2001	31	0.2%
2000	37	0.2%
1999	67	0.3%
1998	87	0.5%
1997	101	0.5%
1996	129	0.7%

ANO1_NAC
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

19	19232
20	96
0	1

Value	Count	Frequency (%)
19	19232	99.5%
20	96	0.5%
0	1	< 0.1%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	2
Median length	2
Mean length	1.999948264
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	19232	49.8%
9	19232	49.8%
0	97	0.3%
2	96	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38657	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	19232	49.8%
9	19232	49.8%
0	97	0.3%
2	96	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	38657	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	19232	49.8%
9	19232	49.8%
0	97	0.3%
2	96	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38657	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	19232	49.8%
9	19232	49.8%
0	97	0.3%
2	96	0.2%

ANO2_NAC
Real number (ℝ_≥0)

Distinct	96
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	68.45698174
Minimum	0
Maximum	99
Zeros	38
Zeros (%)	0.2%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	57
median	71
Q3	83
95-th percentile	93
Maximum	99
Range	99
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	18.26328907
Coefficient of variation (CV)	0.2667849006
Kurtosis	0.1409362284
Mean	68.45698174
Median Absolute Deviation (MAD)	13
Skewness	-0.6611727932
Sum	1323205
Variance	333.5477277
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
89	448	2.3%
86	448	2.3%
87	445	2.3%
88	438	2.3%
85	419	2.2%
83	409	2.1%
80	409	2.1%
79	408	2.1%
81	402	2.1%
73	398	2.1%
75	396	2.0%
82	393	2.0%
84	389	2.0%
64	386	2.0%
91	385	2.0%
62	383	2.0%
66	381	2.0%
74	381	2.0%
65	378	2.0%
67	378	2.0%
90	371	1.9%
68	365	1.9%
61	365	1.9%
71	362	1.9%
72	350	1.8%
Other values (71)	9442	48.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	38	0.2%
1	31	0.2%
2	13	0.1%
3	10	0.1%
4	4	< 0.1%
5	1	< 0.1%
7	2	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
12	4	< 0.1%

Value	Count	Frequency (%)
99	67	0.3%
98	87	0.5%
97	101	0.5%
96	129	0.7%
95	207	1.1%
94	233	1.2%
93	277	1.4%
92	342	1.8%
91	385	2.0%
90	371	1.9%

SEXO
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.1 KiB

1	15705
2	3624

Value	Count	Frequency (%)
1	15705	81.3%
2	3624	18.7%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	15705	81.3%
2	3624	18.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	15705	81.3%
2	3624	18.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	15705	81.3%
2	3624	18.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	15705	81.3%
2	3624	18.7%

EST_CIVIL
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.4 KiB

1	10503
2	7984
3	393
9	321
4	125
Other values (2)	3

Value	Count	Frequency (%)
1	10503	54.3%
2	7984	41.3%
3	393	2.0%
9	321	1.7%
4	125	0.6%
5	2	< 0.1%
6	1	< 0.1%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	7
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	10503	54.3%
2	7984	41.3%
3	393	2.0%
9	321	1.7%
4	125	0.6%
5	2	< 0.1%
6	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	10503	54.3%
2	7984	41.3%
3	393	2.0%
9	321	1.7%
4	125	0.6%
5	2	< 0.1%
6	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	10503	54.3%
2	7984	41.3%
3	393	2.0%
9	321	1.7%
4	125	0.6%
5	2	< 0.1%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	10503	54.3%
2	7984	41.3%
3	393	2.0%
9	321	1.7%
4	125	0.6%
5	2	< 0.1%
6	1	< 0.1%

EDAD_TIPO
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.1 KiB

1	19329

Value	Count	Frequency (%)
1	19329	100.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	1
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	19329	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	19329	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	19329	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	19329	100.0%

EDAD_CANT
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	96
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	22.3 KiB

23	479
29	435
22	434
24	431
21	423
Other values (91)	17127

Common Values
Overview

Value	Count	Frequency (%)
23	479	2.5%
29	435	2.3%
22	434	2.2%
24	431	2.2%
21	423	2.2%
28	416	2.2%
27	412	2.1%
25	399	2.1%
26	398	2.1%
47	397	2.1%
41	392	2.0%
19	385	2.0%
38	384	2.0%
30	383	2.0%
20	380	2.0%
35	378	2.0%
31	377	2.0%
46	376	1.9%
43	374	1.9%
34	371	1.9%
33	363	1.9%
44	363	1.9%
36	361	1.9%
40	360	1.9%
45	358	1.9%
Other values (71)	9500	49.1%

Frequencies of value counts

Unique

Unique	6 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	3
Median length	2
Mean length	2
Min length	1

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	6114	15.8%
3	5567	14.4%
4	5530	14.3%
5	4805	12.4%
6	3655	9.5%
1	3569	9.2%
7	3008	7.8%
8	2427	6.3%
9	2033	5.3%
0	1950	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38658	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	6114	15.8%
3	5567	14.4%
4	5530	14.3%
5	4805	12.4%
6	3655	9.5%
1	3569	9.2%
7	3008	7.8%
8	2427	6.3%
9	2033	5.3%
0	1950	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38658	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	6114	15.8%
3	5567	14.4%
4	5530	14.3%
5	4805	12.4%
6	3655	9.5%
1	3569	9.2%
7	3008	7.8%
8	2427	6.3%
9	2033	5.3%
0	1950	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38658	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	6114	15.8%
3	5567	14.4%
4	5530	14.3%
5	4805	12.4%
6	3655	9.5%
1	3569	9.2%
7	3008	7.8%
8	2427	6.3%
9	2033	5.3%
0	1950	5.0%

RENGOETARIO_N
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

3	8215
4	7291
5	2209
2	1545
1	69

Value	Count	Frequency (%)
3	8215	42.5%
4	7291	37.7%
5	2209	11.4%
2	1545	8.0%
1	69	0.4%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	5
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	8215	42.5%
4	7291	37.7%
5	2209	11.4%
2	1545	8.0%
1	69	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	8215	42.5%
4	7291	37.7%
5	2209	11.4%
2	1545	8.0%
1	69	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	8215	42.5%
4	7291	37.7%
5	2209	11.4%
2	1545	8.0%
1	69	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	8215	42.5%
4	7291	37.7%
5	2209	11.4%
2	1545	8.0%
1	69	0.4%

RANGO ETARIO
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

adulto joven	8215
adulto	7291
adulto mayor	2209
Adolescente	1545
niño(a)	69

Value	Count	Frequency (%)
adulto joven	8215	42.5%
adulto	7291	37.7%
adulto mayor	2209	11.4%
Adolescente	1545	8.0%
niño(a)	69	0.4%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	12
Median length	12
Mean length	9.638988049
Min length	6

Overview of Unicode Properties

Unique unicode characters	21
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
o	29753	16.0%
a	19993	10.7%
d	19260	10.3%
l	19260	10.3%
t	19260	10.3%
u	17715	9.5%
e	12850	6.9%
	10424	5.6%
n	9829	5.3%
j	8215	4.4%
v	8215	4.4%
m	2209	1.2%
y	2209	1.2%
r	2209	1.2%
A	1545	0.8%
s	1545	0.8%
c	1545	0.8%
i	69	< 0.1%
ñ	69	< 0.1%
(	69	< 0.1%
)	69	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	174205	93.5%
Space Separator	10424	5.6%
Uppercase Letter	1545	0.8%
Open Punctuation	69	< 0.1%
Close Punctuation	69	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
o	29753	17.1%
a	19993	11.5%
d	19260	11.1%
l	19260	11.1%
t	19260	11.1%
u	17715	10.2%
e	12850	7.4%
n	9829	5.6%
j	8215	4.7%
v	8215	4.7%
m	2209	1.3%
y	2209	1.3%
r	2209	1.3%
s	1545	0.9%
c	1545	0.9%
i	69	< 0.1%
ñ	69	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	10424	100.0%

Most frequent Open Punctuation characters

Value	Count	Frequency (%)
(	69	100.0%

Most frequent Close Punctuation characters

Value	Count	Frequency (%)
)	69	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	1545	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	175750	94.3%
Common	10562	5.7%

Most frequent Latin characters

Value	Count	Frequency (%)
o	29753	16.9%
a	19993	11.4%
d	19260	11.0%
l	19260	11.0%
t	19260	11.0%
u	17715	10.1%
e	12850	7.3%
n	9829	5.6%
j	8215	4.7%
v	8215	4.7%
m	2209	1.3%
y	2209	1.3%
r	2209	1.3%
A	1545	0.9%
s	1545	0.9%
c	1545	0.9%
i	69	< 0.1%
ñ	69	< 0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	10424	98.7%
(	69	0.7%
)	69	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186243	> 99.9%
None	69	< 0.1%

Most frequent ASCII characters

Value	Count	Frequency (%)
o	29753	16.0%
a	19993	10.7%
d	19260	10.3%
l	19260	10.3%
t	19260	10.3%
u	17715	9.5%
e	12850	6.9%
	10424	5.6%
n	9829	5.3%
j	8215	4.4%
v	8215	4.4%
m	2209	1.2%
y	2209	1.2%
r	2209	1.2%
A	1545	0.8%
s	1545	0.8%
c	1545	0.8%
i	69	< 0.1%
(	69	< 0.1%
)	69	< 0.1%

Most frequent None characters

Value	Count	Frequency (%)
ñ	69	100.0%

EDAD_LABORAL
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

EdadLab_MED	8215
EdadLab_MAX	7291
Edad_AVAN	2209
EdadLab_TEM	1545
niño(a)	69

Value	Count	Frequency (%)
EdadLab_MED	8215	42.5%
EdadLab_MAX	7291	37.7%
Edad_AVAN	2209	11.4%
EdadLab_TEM	1545	8.0%
niño(a)	69	0.4%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	11
Median length	11
Mean length	10.75715247
Min length	7

Overview of Unicode Properties

Unique unicode characters	19
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
d	38520	18.5%
a	36380	17.5%
E	29020	14.0%
_	19260	9.3%
L	17051	8.2%
b	17051	8.2%
M	17051	8.2%
A	11709	5.6%
D	8215	4.0%
X	7291	3.5%
V	2209	1.1%
N	2209	1.1%
T	1545	0.7%
n	69	< 0.1%
i	69	< 0.1%
ñ	69	< 0.1%
o	69	< 0.1%
(	69	< 0.1%
)	69	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	96300	46.3%
Lowercase Letter	92227	44.4%
Connector Punctuation	19260	9.3%
Open Punctuation	69	< 0.1%
Close Punctuation	69	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
E	29020	30.1%
L	17051	17.7%
M	17051	17.7%
A	11709	12.2%
D	8215	8.5%
X	7291	7.6%
V	2209	2.3%
N	2209	2.3%
T	1545	1.6%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
d	38520	41.8%
a	36380	39.4%
b	17051	18.5%
n	69	0.1%
i	69	0.1%
ñ	69	0.1%
o	69	0.1%

Most frequent Connector Punctuation characters

Value	Count	Frequency (%)
_	19260	100.0%

Most frequent Open Punctuation characters

Value	Count	Frequency (%)
(	69	100.0%

Most frequent Close Punctuation characters

Value	Count	Frequency (%)
)	69	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	188527	90.7%
Common	19398	9.3%

Most frequent Latin characters

Value	Count	Frequency (%)
d	38520	20.4%
a	36380	19.3%
E	29020	15.4%
L	17051	9.0%
b	17051	9.0%
M	17051	9.0%
A	11709	6.2%
D	8215	4.4%
X	7291	3.9%
V	2209	1.2%
N	2209	1.2%
T	1545	0.8%
n	69	< 0.1%
i	69	< 0.1%
ñ	69	< 0.1%
o	69	< 0.1%

Most frequent Common characters

Value	Count	Frequency (%)
_	19260	99.3%
(	69	0.4%
)	69	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	207856	> 99.9%
None	69	< 0.1%

Most frequent ASCII characters

Value	Count	Frequency (%)
d	38520	18.5%
a	36380	17.5%
E	29020	14.0%
_	19260	9.3%
L	17051	8.2%
b	17051	8.2%
M	17051	8.2%
A	11709	5.6%
D	8215	4.0%
X	7291	3.5%
V	2209	1.1%
N	2209	1.1%
T	1545	0.7%
n	69	< 0.1%
i	69	< 0.1%
o	69	< 0.1%
(	69	< 0.1%
)	69	< 0.1%

Most frequent None characters

Value	Count	Frequency (%)
ñ	69	100.0%

CURSO_INS
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.356303999
Minimum	0
Maximum	9
Zeros	611
Zeros (%)	3.2%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	6
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.103183864
Coefficient of variation (CV)	0.4827908852
Kurtosis	-0.4841706321
Mean	4.356303999
Median Absolute Deviation (MAD)	1
Skewness	0.1847114878
Sum	84203
Variance	4.423382365
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	7167	37.1%
8	2758	14.3%
6	2293	11.9%
2	2199	11.4%
3	1604	8.3%
5	1265	6.5%
1	981	5.1%
0	611	3.2%
7	431	2.2%
9	20	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	611	3.2%
1	981	5.1%
2	2199	11.4%
3	1604	8.3%
4	7167	37.1%
5	1265	6.5%
6	2293	11.9%
7	431	2.2%
8	2758	14.3%
9	20	0.1%

Value	Count	Frequency (%)
9	20	0.1%
8	2758	14.3%
7	431	2.2%
6	2293	11.9%
5	1265	6.5%
4	7167	37.1%
3	1604	8.3%
2	2199	11.4%
1	981	5.1%
0	611	3.2%

NIVEL_INS
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.804128512
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	4
Maximum	9
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.158318928
Coefficient of variation (CV)	0.4130762636
Kurtosis	-1.018823427
Mean	2.804128512
Median Absolute Deviation (MAD)	1
Skewness	0.1753799955
Sum	54201
Variance	1.341702739
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	8421	43.6%
4	7385	38.2%
1	2016	10.4%
3	886	4.6%
5	611	3.2%
9	10	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2016	10.4%
2	8421	43.6%
3	886	4.6%
4	7385	38.2%
5	611	3.2%
9	10	0.1%

Value	Count	Frequency (%)
9	10	0.1%
5	611	3.2%
4	7385	38.2%
3	886	4.6%
2	8421	43.6%
1	2016	10.4%

ACTIVIDAD
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

1	11578
0	6392
2	1325
9	34

Value	Count	Frequency (%)
1	11578	59.9%
0	6392	33.1%
2	1325	6.9%
9	34	0.2%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	11578	59.9%
0	6392	33.1%
2	1325	6.9%
9	34	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	11578	59.9%
0	6392	33.1%
2	1325	6.9%
9	34	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	11578	59.9%
0	6392	33.1%
2	1325	6.9%
9	34	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	11578	59.9%
0	6392	33.1%
2	1325	6.9%
9	34	0.2%

OCUPACION
Categorical

Distinct	22
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.8 KiB

5	2455
5	2409
7	1340
7	1251
9	1245
Other values (17)	10629

Common Values
Overview

Value	Count	Frequency (%)
5	2455	12.7%
5	2409	12.5%
7	1340	6.9%
7	1251	6.5%
9	1245	6.4%
X	1170	6.1%
9	1156	6.0%
2	1121	5.8%
6	1034	5.3%
3	1021	5.3%
2	966	5.0%
3	857	4.4%
6	724	3.7%
8	582	3.0%
8	564	2.9%
x	431	2.2%
4	396	2.0%
4	370	1.9%
1	81	0.4%
1	65	0.3%
0	49	0.3%
0	42	0.2%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	12
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
5	4864	25.2%
7	2591	13.4%
9	2401	12.4%
2	2087	10.8%
3	1878	9.7%
6	1758	9.1%
X	1170	6.1%
8	1146	5.9%
4	766	4.0%
x	431	2.2%
1	146	0.8%
0	91	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17728	91.7%
Uppercase Letter	1170	6.1%
Lowercase Letter	431	2.2%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
5	4864	27.4%
7	2591	14.6%
9	2401	13.5%
2	2087	11.8%
3	1878	10.6%
6	1758	9.9%
8	1146	6.5%
4	766	4.3%
1	146	0.8%
0	91	0.5%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
X	1170	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
x	431	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	17728	91.7%
Latin	1601	8.3%

Most frequent Common characters

Value	Count	Frequency (%)
5	4864	27.4%
7	2591	14.6%
9	2401	13.5%
2	2087	11.8%
3	1878	10.6%
6	1758	9.9%
8	1146	6.5%
4	766	4.3%
1	146	0.8%
0	91	0.5%

Most frequent Latin characters

Value	Count	Frequency (%)
X	1170	73.1%
x	431	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
5	4864	25.2%
7	2591	13.4%
9	2401	12.4%
2	2087	10.8%
3	1878	9.7%
6	1758	9.1%
X	1170	6.1%
8	1146	5.9%
4	766	4.0%
x	431	2.2%
1	146	0.8%
0	91	0.5%

CATEGORIA
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

0	6392
3	5262
2	3562
4	2642
9	1359

Value	Count	Frequency (%)
0	6392	33.1%
3	5262	27.2%
2	3562	18.4%
4	2642	13.7%
9	1359	7.0%
1	112	0.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	6392	33.1%
3	5262	27.2%
2	3562	18.4%
4	2642	13.7%
9	1359	7.0%
1	112	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	6392	33.1%
3	5262	27.2%
2	3562	18.4%
4	2642	13.7%
9	1359	7.0%
1	112	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	6392	33.1%
3	5262	27.2%
2	3562	18.4%
4	2642	13.7%
9	1359	7.0%
1	112	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	6392	33.1%
3	5262	27.2%
2	3562	18.4%
4	2642	13.7%
9	1359	7.0%
1	112	0.6%

FECHA_DEF
Date

Distinct	3634
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Minimum	2007-01-01 00:00:00
Maximum	2016-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

ESTACION N
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

1	9339
3	3500
4	3379
2	3111

Value	Count	Frequency (%)
1	9339	48.3%
3	3500	18.1%
4	3379	17.5%
2	3111	16.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	9339	48.3%
3	3500	18.1%
4	3379	17.5%
2	3111	16.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	9339	48.3%
3	3500	18.1%
4	3379	17.5%
2	3111	16.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	9339	48.3%
3	3500	18.1%
4	3379	17.5%
2	3111	16.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	9339	48.3%
3	3500	18.1%
4	3379	17.5%
2	3111	16.1%

ESTACION
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	19.2 KiB

VERANO	9339
PRIMAVERA	3500
INVIERNO	3379
OTOÑO	3111

Value	Count	Frequency (%)
VERANO	9339	48.3%
PRIMAVERA	3500	18.1%
INVIERNO	3379	17.5%
OTOÑO	3111	16.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	6
Mean length	6.731905427
Min length	5

Overview of Unicode Properties

Unique unicode characters	11
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
O	22051	16.9%
R	19718	15.2%
A	16339	12.6%
V	16218	12.5%
E	16218	12.5%
N	16097	12.4%
I	10258	7.9%
P	3500	2.7%
M	3500	2.7%
T	3111	2.4%
Ñ	3111	2.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	130121	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
O	22051	16.9%
R	19718	15.2%
A	16339	12.6%
V	16218	12.5%
E	16218	12.5%
N	16097	12.4%
I	10258	7.9%
P	3500	2.7%
M	3500	2.7%
T	3111	2.4%
Ñ	3111	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	130121	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
O	22051	16.9%
R	19718	15.2%
A	16339	12.6%
V	16218	12.5%
E	16218	12.5%
N	16097	12.4%
I	10258	7.9%
P	3500	2.7%
M	3500	2.7%
T	3111	2.4%
Ñ	3111	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127010	97.6%
None	3111	2.4%

Most frequent ASCII characters

Value	Count	Frequency (%)
O	22051	17.4%
R	19718	15.5%
A	16339	12.9%
V	16218	12.8%
E	16218	12.8%
N	16097	12.7%
I	10258	8.1%
P	3500	2.8%
M	3500	2.8%
T	3111	2.4%

Most frequent None characters

Value	Count	Frequency (%)
Ñ	3111	100.0%

DIA_SEMANA
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

domingo	3464
sábado	2897
lunes	2882
martes	2580
viernes	2549
Other values (2)	4957

Value	Count	Frequency (%)
domingo	3464	17.9%
sábado	2897	15.0%
lunes	2882	14.9%
martes	2580	13.3%
viernes	2549	13.2%
miércoles	2480	12.8%
jueves	2477	12.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	6
Mean length	6.546898443
Min length	5

Overview of Unicode Properties

Unique unicode characters	19
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	17994	14.2%
s	15865	12.5%
o	12305	9.7%
n	8895	7.0%
m	8524	6.7%
i	8493	6.7%
r	7609	6.0%
d	6361	5.0%
a	5477	4.3%
l	5362	4.2%
u	5359	4.2%
v	5026	4.0%
g	3464	2.7%
á	2897	2.3%
b	2897	2.3%
t	2580	2.0%
é	2480	2.0%
c	2480	2.0%
j	2477	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	126545	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	17994	14.2%
s	15865	12.5%
o	12305	9.7%
n	8895	7.0%
m	8524	6.7%
i	8493	6.7%
r	7609	6.0%
d	6361	5.0%
a	5477	4.3%
l	5362	4.2%
u	5359	4.2%
v	5026	4.0%
g	3464	2.7%
á	2897	2.3%
b	2897	2.3%
t	2580	2.0%
é	2480	2.0%
c	2480	2.0%
j	2477	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126545	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
e	17994	14.2%
s	15865	12.5%
o	12305	9.7%
n	8895	7.0%
m	8524	6.7%
i	8493	6.7%
r	7609	6.0%
d	6361	5.0%
a	5477	4.3%
l	5362	4.2%
u	5359	4.2%
v	5026	4.0%
g	3464	2.7%
á	2897	2.3%
b	2897	2.3%
t	2580	2.0%
é	2480	2.0%
c	2480	2.0%
j	2477	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121168	95.8%
None	5377	4.2%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	17994	14.9%
s	15865	13.1%
o	12305	10.2%
n	8895	7.3%
m	8524	7.0%
i	8493	7.0%
r	7609	6.3%
d	6361	5.2%
a	5477	4.5%
l	5362	4.4%
u	5359	4.4%
v	5026	4.1%
g	3464	2.9%
b	2897	2.4%
t	2580	2.1%
c	2480	2.0%
j	2477	2.0%

Most frequent None characters

Value	Count	Frequency (%)
á	2897	53.9%
é	2480	46.1%

DIA_DEF
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.459672
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.852605637
Coefficient of variation (CV)	0.572625709
Kurtosis	-1.204810612
Mean	15.459672
Median Absolute Deviation (MAD)	8
Skewness	0.0260246801
Sum	298820
Variance	78.36862657
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	721	3.7%
3	700	3.6%
2	697	3.6%
19	678	3.5%
6	666	3.4%
24	655	3.4%
9	654	3.4%
11	653	3.4%
26	653	3.4%
5	647	3.3%
22	647	3.3%
16	642	3.3%
7	640	3.3%
4	638	3.3%
18	637	3.3%
21	637	3.3%
8	636	3.3%
25	636	3.3%
20	632	3.3%
10	616	3.2%
23	614	3.2%
14	611	3.2%
13	609	3.2%
17	603	3.1%
15	589	3.0%
Other values (6)	3218	16.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	721	3.7%
2	697	3.6%
3	700	3.6%
4	638	3.3%
5	647	3.3%
6	666	3.4%
7	640	3.3%
8	636	3.3%
9	654	3.4%
10	616	3.2%

Value	Count	Frequency (%)
31	371	1.9%
30	567	2.9%
29	531	2.7%
28	579	3.0%
27	581	3.0%
26	653	3.4%
25	636	3.3%
24	655	3.4%
23	614	3.2%
22	647	3.3%

MES_DEF
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.598685912
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.554361468
Coefficient of variation (CV)	0.5386468631
Kurtosis	-1.273037101
Mean	6.598685912
Median Absolute Deviation (MAD)	3
Skewness	-0.06200530247
Sum	127546
Variance	12.63348544
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	1897	9.8%
12	1795	9.3%
10	1740	9.0%
9	1728	8.9%
11	1723	8.9%
3	1592	8.2%
8	1565	8.1%
5	1539	8.0%
4	1456	7.5%
2	1451	7.5%
7	1429	7.4%
6	1414	7.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1897	9.8%
2	1451	7.5%
3	1592	8.2%
4	1456	7.5%
5	1539	8.0%
6	1414	7.3%
7	1429	7.4%
8	1565	8.1%
9	1728	8.9%
10	1740	9.0%

Value	Count	Frequency (%)
12	1795	9.3%
11	1723	8.9%
10	1740	9.0%
9	1728	8.9%
8	1565	8.1%
7	1429	7.4%
6	1414	7.3%
5	1539	8.0%
4	1456	7.5%
3	1592	8.2%

ANO_DEF
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2011.352579
Minimum	2007
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	2007
5-th percentile	2007
Q1	2009
median	2011
Q3	2014
95-th percentile	2016
Maximum	2016
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.870012355
Coefficient of variation (CV)	0.001426906642
Kurtosis	-1.223166562
Mean	2011.352579
Median Absolute Deviation (MAD)	2
Skewness	0.09535227155
Sum	38877434
Variance	8.23697092
Monotocity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2008	2166	11.2%
2009	2148	11.1%
2011	2027	10.5%
2010	2001	10.4%
2007	1926	10.0%
2016	1858	9.6%
2012	1841	9.5%
2015	1835	9.5%
2014	1789	9.3%
2013	1738	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2007	1926	10.0%
2008	2166	11.2%
2009	2148	11.1%
2010	2001	10.4%
2011	2027	10.5%
2012	1841	9.5%
2013	1738	9.0%
2014	1789	9.3%
2015	1835	9.5%
2016	1858	9.6%

Value	Count	Frequency (%)
2016	1858	9.6%
2015	1835	9.5%
2014	1789	9.3%
2013	1738	9.0%
2012	1841	9.5%
2011	2027	10.5%
2010	2001	10.4%
2009	2148	11.1%
2008	2166	11.2%
2007	1926	10.0%

LUGAR_DEF
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

3	10008
2	6788
1	2533

Value	Count	Frequency (%)
3	10008	51.8%
2	6788	35.1%
1	2533	13.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	10008	51.8%
2	6788	35.1%
1	2533	13.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	10008	51.8%
2	6788	35.1%
1	2533	13.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	10008	51.8%
2	6788	35.1%
1	2533	13.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	10008	51.8%
2	6788	35.1%
1	2533	13.1%

REG_RES
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.277769155
Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	6
median	9
Q3	13
95-th percentile	13
Maximum	15
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.65112232
Coefficient of variation (CV)	0.393534508
Kurtosis	-1.094995514
Mean	9.277769155
Median Absolute Deviation (MAD)	4
Skewness	-0.3424299944
Sum	179330
Variance	13.3306942
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
13	6892	35.7%
8	2419	12.5%
5	1947	10.1%
9	1317	6.8%
7	1297	6.7%
10	1261	6.5%
6	1150	5.9%
4	807	4.2%
14	545	2.8%
2	537	2.8%
3	340	1.8%
1	267	1.4%
12	208	1.1%
15	182	0.9%
11	160	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	267	1.4%
2	537	2.8%
3	340	1.8%
4	807	4.2%
5	1947	10.1%
6	1150	5.9%
7	1297	6.7%
8	2419	12.5%
9	1317	6.8%
10	1261	6.5%

Value	Count	Frequency (%)
15	182	0.9%
14	545	2.8%
13	6892	35.7%
12	208	1.1%
11	160	0.8%
10	1261	6.5%
9	1317	6.8%
8	2419	12.5%
7	1297	6.7%
6	1150	5.9%

SERV_RES
Real number (ℝ_≥0)

Distinct	29
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.99358477
Minimum	1
Maximum	33
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	9
median	14
Q3	18
95-th percentile	26
Maximum	33
Range	32
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.849717225
Coefficient of variation (CV)	0.4894898154
Kurtosis	-0.1394890655
Mean	13.99358477
Median Absolute Deviation (MAD)	5
Skewness	0.4487015366
Sum	270482
Variance	46.91862606
Monotocity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
10	1425	7.4%
14	1388	7.2%
16	1297	6.7%
13	1266	6.5%
15	1150	5.9%
9	1050	5.4%
21	968	5.0%
12	934	4.8%
7	926	4.8%
11	837	4.3%
5	807	4.2%
17	708	3.7%
6	659	3.4%
24	582	3.0%
18	554	2.9%
22	545	2.8%
3	537	2.8%
20	520	2.7%
23	384	2.0%
8	354	1.8%
29	349	1.8%
19	349	1.8%
4	340	1.8%
33	295	1.5%
28	288	1.5%
Other values (4)	817	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	182	0.9%
2	267	1.4%
3	537	2.8%
4	340	1.8%
5	807	4.2%
6	659	3.4%
7	926	4.8%
8	354	1.8%
9	1050	5.4%
10	1425	7.4%

Value	Count	Frequency (%)
33	295	1.5%
29	349	1.8%
28	288	1.5%
26	208	1.1%
25	160	0.8%
24	582	3.0%
23	384	2.0%
22	545	2.8%
21	968	5.0%
20	520	2.7%

COMUNA
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	350
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9460.871023
Minimum	1101
Maximum	15202
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1101
5-th percentile	3101
Q1	6301
median	9119
Q3	13117
95-th percentile	13502
Maximum	15202
Range	14101
Interquartile range (IQR)	6816

Descriptive statistics

Standard deviation	3622.227515
Coefficient of variation (CV)	0.3828640626
Kurtosis	-1.035603096
Mean	9460.871023
Median Absolute Deviation (MAD)	3985
Skewness	-0.3603792783
Sum	182869176
Variance	13120532.17
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13201	514	2.7%
13119	395	2.0%
5101	372	1.9%
6101	341	1.8%
13110	340	1.8%
10101	319	1.7%
13401	288	1.5%
9101	285	1.5%
10301	270	1.4%
13112	268	1.4%
5109	265	1.4%
2101	258	1.3%
13124	254	1.3%
7101	246	1.3%
13101	242	1.3%
13122	232	1.2%
2201	229	1.2%
4101	226	1.2%
8401	225	1.2%
13105	224	1.2%
8301	221	1.1%
13128	211	1.1%
13127	205	1.1%
4102	195	1.0%
8101	194	1.0%
Other values (325)	12510	64.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1101	179	0.9%
1104	1	< 0.1%
1106	2	< 0.1%
1107	73	0.4%
1201	16	0.1%
1401	7	< 0.1%
1402	2	< 0.1%
1404	1	< 0.1%
1405	2	< 0.1%
2101	258	1.3%

Value	Count	Frequency (%)
15202	1	< 0.1%
15101	165	0.9%
14204	44	0.2%
14203	21	0.1%
14202	20	0.1%
14201	53	0.3%
14108	56	0.3%
14107	26	0.1%
14106	24	0.1%
14105	16	0.1%

DESC_COMUNA
Categorical

HIGH CARDINALITY

Distinct	221
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

SANTIAGO	5088
INDEPENDENCIA	2067
ISLA DE PASCUA	807
LONQUIMAY	408
RANCAGUA	341
Other values (216)	10618

Common Values
Overview

Value	Count	Frequency (%)
SANTIAGO	5088	26.3%
INDEPENDENCIA	2067	10.7%
ISLA DE PASCUA	807	4.2%
LONQUIMAY	408	2.1%
RANCAGUA	341	1.8%
VALDIVIA	319	1.7%
ANGOL	285	1.5%
PUERTO MONTT	270	1.4%
TOCOPILLA	268	1.4%
CURICO	246	1.3%
RINCONADA	243	1.3%
ANTOFAGASTA	229	1.2%
LA SERENA	226	1.2%
LOS ANGELES	225	1.2%
ARAUCO	221	1.1%
CHANCO	211	1.1%
LA HIGUERA	195	1.0%
CHILLAN	194	1.0%
ALTO BIOBIO	191	1.0%
ARICA	180	0.9%
NATALES	180	0.9%
SAN FELIPE	176	0.9%
LINARES	175	0.9%
CHANARAL	167	0.9%
ALHUE	165	0.9%
Other values (196)	6252	32.3%

Frequencies of value counts

Unique

Unique	5 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	25
Median length	8
Mean length	8.947746909
Min length	4

Overview of Unicode Properties

Unique unicode characters	25
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
A	29454	17.0%
N	19227	11.1%
I	16975	9.8%
E	13646	7.9%
O	13325	7.7%
S	10422	6.0%
T	9319	5.4%
L	9103	5.3%
C	8570	5.0%
G	6901	4.0%
D	6338	3.7%
U	5963	3.4%
P	5015	2.9%
	4904	2.8%
R	4801	2.8%
M	2018	1.2%
H	1945	1.1%
Q	1369	0.8%
V	1235	0.7%
B	846	0.5%
F	717	0.4%
Y	567	0.3%
J	123	0.1%
Z	90	0.1%
-	78	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	167969	97.1%
Space Separator	4904	2.8%
Dash Punctuation	78	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	29454	17.5%
N	19227	11.4%
I	16975	10.1%
E	13646	8.1%
O	13325	7.9%
S	10422	6.2%
T	9319	5.5%
L	9103	5.4%
C	8570	5.1%
G	6901	4.1%
D	6338	3.8%
U	5963	3.6%
P	5015	3.0%
R	4801	2.9%
M	2018	1.2%
H	1945	1.2%
Q	1369	0.8%
V	1235	0.7%
B	846	0.5%
F	717	0.4%
Y	567	0.3%
J	123	0.1%
Z	90	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	4904	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	167969	97.1%
Common	4982	2.9%

Most frequent Latin characters

Value	Count	Frequency (%)
A	29454	17.5%
N	19227	11.4%
I	16975	10.1%
E	13646	8.1%
O	13325	7.9%
S	10422	6.2%
T	9319	5.5%
L	9103	5.4%
C	8570	5.1%
G	6901	4.1%
D	6338	3.8%
U	5963	3.6%
P	5015	3.0%
R	4801	2.9%
M	2018	1.2%
H	1945	1.2%
Q	1369	0.8%
V	1235	0.7%
B	846	0.5%
F	717	0.4%
Y	567	0.3%
J	123	0.1%
Z	90	0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	4904	98.4%
-	78	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172951	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
A	29454	17.0%
N	19227	11.1%
I	16975	9.8%
E	13646	7.9%
O	13325	7.7%
S	10422	6.0%
T	9319	5.4%
L	9103	5.3%
C	8570	5.0%
G	6901	4.0%
D	6338	3.7%
U	5963	3.4%
P	5015	2.9%
	4904	2.8%
R	4801	2.8%
M	2018	1.2%
H	1945	1.1%
Q	1369	0.8%
V	1235	0.7%
B	846	0.5%
F	717	0.4%
Y	567	0.3%
J	123	0.1%
Z	90	0.1%
-	78	< 0.1%

URB_RURAL
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

1	15828
2	3501

Value	Count	Frequency (%)
1	15828	81.9%
2	3501	18.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	15828	81.9%
2	3501	18.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	15828	81.9%
2	3501	18.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	15828	81.9%
2	3501	18.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	15828	81.9%
2	3501	18.1%

DIAG1
Categorical

HIGH CARDINALITY

Distinct	180
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

T71X	16210
S062	710
T07X	302
T509	195
S069	192
Other values (175)	1720

Common Values
Overview

Value	Count	Frequency (%)
T71X	16210	83.9%
S062	710	3.7%
T07X	302	1.6%
T509	195	1.0%
S069	192	1.0%
T659	138	0.7%
T068	112	0.6%
S018	108	0.6%
T751	100	0.5%
T609	91	0.5%
S219	89	0.5%
T58X	73	0.4%
T430	50	0.3%
S119	45	0.2%
T424	45	0.2%
T149	41	0.2%
T600	41	0.2%
T549	38	0.2%
S299	38	0.2%
T542	32	0.2%
S311	30	0.2%
T011	28	0.1%
T065	25	0.1%
T603	25	0.1%
S269	23	0.1%
Other values (155)	548	2.8%

Frequencies of value counts

Unique

Unique	69 ?
Unique (%)	0.4%

Histogram of lengths of the category

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Overview of Unicode Properties

Unique unicode characters	13
Unique unicode categories	2 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
T	17897	23.1%
1	17051	22.1%
7	16697	21.6%
X	16587	21.5%
0	2142	2.8%
6	1454	1.9%
S	1432	1.9%
9	1089	1.4%
2	1077	1.4%
5	756	1.0%
4	405	0.5%
8	404	0.5%
3	325	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41400	53.5%
Uppercase Letter	35916	46.5%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
T	17897	49.8%
X	16587	46.2%
S	1432	4.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	17051	41.2%
7	16697	40.3%
0	2142	5.2%
6	1454	3.5%
9	1089	2.6%
2	1077	2.6%
5	756	1.8%
4	405	1.0%
8	404	1.0%
3	325	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	41400	53.5%
Latin	35916	46.5%

Most frequent Latin characters

Value	Count	Frequency (%)
T	17897	49.8%
X	16587	46.2%
S	1432	4.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	17051	41.2%
7	16697	40.3%
0	2142	5.2%
6	1454	3.5%
9	1089	2.6%
2	1077	2.6%
5	756	1.8%
4	405	1.0%
8	404	1.0%
3	325	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77316	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
T	17897	23.1%
1	17051	22.1%
7	16697	21.6%
X	16587	21.5%
0	2142	2.8%
6	1454	1.9%
S	1432	1.9%
9	1089	1.4%
2	1077	1.4%
5	756	1.0%
4	405	0.5%
8	404	0.5%
3	325	0.4%

DIAG2
Categorical

HIGH CARDINALITY

Distinct	189
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

X700	9931
X708	2046
X709	1748
X700	1391
X740	622
Other values (184)	3591

Common Values
Overview

Value	Count	Frequency (%)
X700	9931	51.4%
X708	2046	10.6%
X709	1748	9.0%
X700	1391	7.2%
X740	622	3.2%
X704	528	2.7%
X800	163	0.8%
X690	153	0.8%
X708	150	0.8%
X640	128	0.7%
X748	123	0.6%
X706	118	0.6%
X680	95	0.5%
X610	94	0.5%
X749	94	0.5%
X780	94	0.5%
X709	85	0.4%
X744	83	0.4%
X730	80	0.4%
X718	79	0.4%
X849	76	0.4%
X740	70	0.4%
X670	60	0.3%
X649	59	0.3%
X704	59	0.3%
Other values (164)	1200	6.2%

Frequencies of value counts

Unique

Unique	56 ?
Unique (%)	0.3%

Histogram of lengths of the category

Length

Max length	5
Median length	4
Mean length	4.104868333
Min length	4

Overview of Unicode Properties

Unique unicode characters	12
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	29680	37.4%
X	19329	24.4%
7	17908	22.6%
8	3623	4.6%
9	2570	3.2%
4	2333	2.9%
	2027	2.6%
6	1220	1.5%
1	317	0.4%
3	135	0.2%
2	117	0.1%
5	84	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	57987	73.1%
Uppercase Letter	19329	24.4%
Space Separator	2027	2.6%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
X	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	29680	51.2%
7	17908	30.9%
8	3623	6.2%
9	2570	4.4%
4	2333	4.0%
6	1220	2.1%
1	317	0.5%
3	135	0.2%
2	117	0.2%
5	84	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	2027	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	60014	75.6%
Latin	19329	24.4%

Most frequent Latin characters

Value	Count	Frequency (%)
X	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	29680	49.5%
7	17908	29.8%
8	3623	6.0%
9	2570	4.3%
4	2333	3.9%
	2027	3.4%
6	1220	2.0%
1	317	0.5%
3	135	0.2%
2	117	0.2%
5	84	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79343	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	29680	37.4%
X	19329	24.4%
7	17908	22.6%
8	3623	4.6%
9	2570	3.2%
4	2333	2.9%
	2027	2.6%
6	1220	1.5%
1	317	0.4%
3	135	0.2%
2	117	0.1%
5	84	0.1%

MEC_SUICIDA
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Lesión	18404
Envenenamiento	925

Value	Count	Frequency (%)
Lesión	18404	95.2%
Envenenamiento	925	4.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	14
Median length	6
Mean length	6.382844431
Min length	6

Overview of Unicode Properties

Unique unicode characters	12
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	22104	17.9%
e	21179	17.2%
i	19329	15.7%
L	18404	14.9%
s	18404	14.9%
ó	18404	14.9%
E	925	0.7%
v	925	0.7%
a	925	0.7%
m	925	0.7%
t	925	0.7%
o	925	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104045	84.3%
Uppercase Letter	19329	15.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
L	18404	95.2%
E	925	4.8%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	22104	21.2%
e	21179	20.4%
i	19329	18.6%
s	18404	17.7%
ó	18404	17.7%
v	925	0.9%
a	925	0.9%
m	925	0.9%
t	925	0.9%
o	925	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123374	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
n	22104	17.9%
e	21179	17.2%
i	19329	15.7%
L	18404	14.9%
s	18404	14.9%
ó	18404	14.9%
E	925	0.7%
v	925	0.7%
a	925	0.7%
m	925	0.7%
t	925	0.7%
o	925	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104970	85.1%
None	18404	14.9%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	22104	21.1%
e	21179	20.2%
i	19329	18.4%
L	18404	17.5%
s	18404	17.5%
E	925	0.9%
v	925	0.9%
a	925	0.9%
m	925	0.9%
t	925	0.9%
o	925	0.9%

Most frequent None characters

Value	Count	Frequency (%)
ó	18404	100.0%

SUBTIPO_MEC
Categorical

HIGH CORRELATION

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Ahorcamiento	16312
Arma de Fuego	1187
Precipitación de Altura	370
Otros Químicos	260
Otras Drogas	241
Other values (16)	959

Common Values
Overview

Value	Count	Frequency (%)
Ahorcamiento	16312	84.4%
Arma de Fuego	1187	6.1%
Precipitación de Altura	370	1.9%
Otros Químicos	260	1.3%
Otras Drogas	241	1.2%
Otros medios N/E	181	0.9%
Plaguicidas	167	0.9%
Arma Cortante	164	0.8%
Drogas Antiepilépticas	136	0.7%
Gases y Vapores	92	0.5%
Por Fuego	91	0.5%
Colisión Vehícular	68	0.4%
Atropello	16	0.1%
Narcóticos	13	0.1%
Explosivos	11	0.1%
Alcohol	6	< 0.1%
Analgésicos No Narcóticos	5	< 0.1%
Disolventes	3	< 0.1%
Por Objetos Calientes	2	< 0.1%
Drogas SNA	2	< 0.1%
Objeto Romo	2	< 0.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	25
Median length	12
Mean length	12.42511253
Min length	7

Overview of Unicode Properties

Unique unicode characters	39
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
o	35685	14.9%
e	20280	8.4%
a	19934	8.3%
r	19915	8.3%
i	18780	7.8%
t	18377	7.7%
A	18198	7.6%
m	18106	7.5%
c	17730	7.4%
n	17060	7.1%
h	16386	6.8%
	4638	1.9%
s	2209	0.9%
u	2143	0.9%
d	1905	0.8%
g	1829	0.8%
F	1278	0.5%
l	874	0.4%
p	761	0.3%
O	686	0.3%
P	630	0.3%
ó	456	0.2%
D	382	0.2%
í	328	0.1%
Q	260	0.1%
Other values (14)	1335	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	213024	88.7%
Uppercase Letter	22322	9.3%
Space Separator	4638	1.9%
Other Punctuation	181	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	18198	81.5%
F	1278	5.7%
O	686	3.1%
P	630	2.8%
D	382	1.7%
Q	260	1.2%
C	234	1.0%
N	206	0.9%
E	192	0.9%
V	160	0.7%
G	92	0.4%
R	2	< 0.1%
S	2	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
o	35685	16.8%
e	20280	9.5%
a	19934	9.4%
r	19915	9.3%
i	18780	8.8%
t	18377	8.6%
m	18106	8.5%
c	17730	8.3%
n	17060	8.0%
h	16386	7.7%
s	2209	1.0%
u	2143	1.0%
d	1905	0.9%
g	1829	0.9%
l	874	0.4%
p	761	0.4%
ó	456	0.2%
í	328	0.2%
é	141	0.1%
y	92	< 0.1%
v	14	< 0.1%
x	11	< 0.1%
b	4	< 0.1%
j	4	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	4638	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
/	181	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	235346	98.0%
Common	4819	2.0%

Most frequent Latin characters

Value	Count	Frequency (%)
o	35685	15.2%
e	20280	8.6%
a	19934	8.5%
r	19915	8.5%
i	18780	8.0%
t	18377	7.8%
A	18198	7.7%
m	18106	7.7%
c	17730	7.5%
n	17060	7.2%
h	16386	7.0%
s	2209	0.9%
u	2143	0.9%
d	1905	0.8%
g	1829	0.8%
F	1278	0.5%
l	874	0.4%
p	761	0.3%
O	686	0.3%
P	630	0.3%
ó	456	0.2%
D	382	0.2%
í	328	0.1%
Q	260	0.1%
C	234	0.1%
Other values (12)	920	0.4%

Most frequent Common characters

Value	Count	Frequency (%)
	4638	96.2%
/	181	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239240	99.6%
None	925	0.4%

Most frequent ASCII characters

Value	Count	Frequency (%)
o	35685	14.9%
e	20280	8.5%
a	19934	8.3%
r	19915	8.3%
i	18780	7.8%
t	18377	7.7%
A	18198	7.6%
m	18106	7.6%
c	17730	7.4%
n	17060	7.1%
h	16386	6.8%
	4638	1.9%
s	2209	0.9%
u	2143	0.9%
d	1905	0.8%
g	1829	0.8%
F	1278	0.5%
l	874	0.4%
p	761	0.3%
O	686	0.3%
P	630	0.3%
D	382	0.2%
Q	260	0.1%
C	234	0.1%
N	206	0.1%
Other values (11)	754	0.3%

Most frequent None characters

Value	Count	Frequency (%)
ó	456	49.3%
í	328	35.5%
é	141	15.2%

AT_MEDICA
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

9	10951
2	7481
1	897

Value	Count	Frequency (%)
9	10951	56.7%
2	7481	38.7%
1	897	4.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
9	10951	56.7%
2	7481	38.7%
1	897	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
9	10951	56.7%
2	7481	38.7%
1	897	4.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
9	10951	56.7%
2	7481	38.7%
1	897	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
9	10951	56.7%
2	7481	38.7%
1	897	4.6%

CAL_MEDICO
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

2	18933
3	302
1	94

Value	Count	Frequency (%)
2	18933	98.0%
3	302	1.6%
1	94	0.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	18933	98.0%
3	302	1.6%
1	94	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	18933	98.0%
3	302	1.6%
1	94	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	18933	98.0%
3	302	1.6%
1	94	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	18933	98.0%
3	302	1.6%
1	94	0.5%

COD_MENOR
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

0	19329

Common Values
Chart

Value	Count	Frequency (%)
0	19329	100.0%

DIA_NAC.1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	32
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.567541
Minimum	0
Maximum	31
Zeros	2
Zeros (%)	< 0.1%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	31
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.768529562
Coefficient of variation (CV)	0.5632572005
Kurtosis	-1.184671108
Mean	15.567541
Median Absolute Deviation (MAD)	8
Skewness	0.0258259228
Sum	300905
Variance	76.88711068
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
10	771	4.0%
1	735	3.8%
15	729	3.8%
20	711	3.7%
5	670	3.5%
25	668	3.5%
6	666	3.4%
8	663	3.4%
7	649	3.4%
17	644	3.3%
18	642	3.3%
26	635	3.3%
9	628	3.2%
16	618	3.2%
24	617	3.2%
11	615	3.2%
22	614	3.2%
28	609	3.2%
27	605	3.1%
2	605	3.1%
19	605	3.1%
14	601	3.1%
12	600	3.1%
4	600	3.1%
13	597	3.1%
Other values (7)	3232	16.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	735	3.8%
2	605	3.1%
3	567	2.9%
4	600	3.1%
5	670	3.5%
6	666	3.4%
7	649	3.4%
8	663	3.4%
9	628	3.2%

Value	Count	Frequency (%)
31	320	1.7%
30	574	3.0%
29	592	3.1%
28	609	3.2%
27	605	3.1%
26	635	3.3%
25	668	3.5%
24	617	3.2%
23	592	3.1%
22	614	3.2%

MES_NAC.1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.734699157
Minimum	0
Maximum	12
Zeros	2
Zeros (%)	< 0.1%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.463052509
Coefficient of variation (CV)	0.5142104241
Kurtosis	-1.206179845
Mean	6.734699157
Median Absolute Deviation (MAD)	3
Skewness	-0.1191701935
Sum	130175
Variance	11.99273268
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
10	1829	9.5%
9	1809	9.4%
8	1754	9.1%
12	1729	8.9%
11	1701	8.8%
1	1609	8.3%
6	1565	8.1%
7	1538	8.0%
3	1483	7.7%
5	1477	7.6%
4	1424	7.4%
2	1409	7.3%
0	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	1609	8.3%
2	1409	7.3%
3	1483	7.7%
4	1424	7.4%
5	1477	7.6%
6	1565	8.1%
7	1538	8.0%
8	1754	9.1%
9	1809	9.4%

Value	Count	Frequency (%)
12	1729	8.9%
11	1701	8.8%
10	1829	9.5%
9	1809	9.4%
8	1754	9.1%
7	1538	8.0%
6	1565	8.1%
5	1477	7.6%
4	1424	7.4%
3	1483	7.7%

ANO1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2010.352579
Minimum	2006
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	2006
5-th percentile	2006
Q1	2008
median	2010
Q3	2013
95-th percentile	2015
Maximum	2015
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.870012355
Coefficient of variation (CV)	0.001427616422
Kurtosis	-1.223166562
Mean	2010.352579
Median Absolute Deviation (MAD)	2
Skewness	0.09535227155
Sum	38858105
Variance	8.23697092
Monotocity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2007	2166	11.2%
2008	2148	11.1%
2010	2027	10.5%
2009	2001	10.4%
2006	1926	10.0%
2015	1858	9.6%
2011	1841	9.5%
2014	1835	9.5%
2013	1789	9.3%
2012	1738	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2006	1926	10.0%
2007	2166	11.2%
2008	2148	11.1%
2009	2001	10.4%
2010	2027	10.5%
2011	1841	9.5%
2012	1738	9.0%
2013	1789	9.3%
2014	1835	9.5%
2015	1858	9.6%

Value	Count	Frequency (%)
2015	1858	9.6%
2014	1835	9.5%
2013	1789	9.3%
2012	1738	9.0%
2011	1841	9.5%
2010	2027	10.5%
2009	2001	10.4%
2008	2148	11.1%
2007	2166	11.2%
2006	1926	10.0%

ANO2
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2012.352579
Minimum	2008
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	2008
5-th percentile	2008
Q1	2010
median	2012
Q3	2015
95-th percentile	2017
Maximum	2017
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.870012355
Coefficient of variation (CV)	0.001426197569
Kurtosis	-1.223166562
Mean	2012.352579
Median Absolute Deviation (MAD)	2
Skewness	0.09535227155
Sum	38896763
Variance	8.23697092
Monotocity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2009	2166	11.2%
2010	2148	11.1%
2012	2027	10.5%
2011	2001	10.4%
2008	1926	10.0%
2017	1858	9.6%
2013	1841	9.5%
2016	1835	9.5%
2015	1789	9.3%
2014	1738	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2008	1926	10.0%
2009	2166	11.2%
2010	2148	11.1%
2011	2001	10.4%
2012	2027	10.5%
2013	1841	9.5%
2014	1738	9.0%
2015	1789	9.3%
2016	1835	9.5%
2017	1858	9.6%

Value	Count	Frequency (%)
2017	1858	9.6%
2016	1835	9.5%
2015	1789	9.3%
2014	1738	9.0%
2013	1841	9.5%
2012	2027	10.5%
2011	2001	10.4%
2010	2148	11.1%
2009	2166	11.2%
2008	1926	10.0%

DIA_DEF.1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.459672
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.852605637
Coefficient of variation (CV)	0.572625709
Kurtosis	-1.204810612
Mean	15.459672
Median Absolute Deviation (MAD)	8
Skewness	0.0260246801
Sum	298820
Variance	78.36862657
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	721	3.7%
3	700	3.6%
2	697	3.6%
19	678	3.5%
6	666	3.4%
24	655	3.4%
9	654	3.4%
11	653	3.4%
26	653	3.4%
5	647	3.3%
22	647	3.3%
16	642	3.3%
7	640	3.3%
4	638	3.3%
18	637	3.3%
21	637	3.3%
8	636	3.3%
25	636	3.3%
20	632	3.3%
10	616	3.2%
23	614	3.2%
14	611	3.2%
13	609	3.2%
17	603	3.1%
15	589	3.0%
Other values (6)	3218	16.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	721	3.7%
2	697	3.6%
3	700	3.6%
4	638	3.3%
5	647	3.3%
6	666	3.4%
7	640	3.3%
8	636	3.3%
9	654	3.4%
10	616	3.2%

Value	Count	Frequency (%)
31	371	1.9%
30	567	2.9%
29	531	2.7%
28	579	3.0%
27	581	3.0%
26	653	3.4%
25	636	3.3%
24	655	3.4%
23	614	3.2%
22	647	3.3%

MES_DEF.1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.598685912
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.554361468
Coefficient of variation (CV)	0.5386468631
Kurtosis	-1.273037101
Mean	6.598685912
Median Absolute Deviation (MAD)	3
Skewness	-0.06200530247
Sum	127546
Variance	12.63348544
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	1897	9.8%
12	1795	9.3%
10	1740	9.0%
9	1728	8.9%
11	1723	8.9%
3	1592	8.2%
8	1565	8.1%
5	1539	8.0%
4	1456	7.5%
2	1451	7.5%
7	1429	7.4%
6	1414	7.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1897	9.8%
2	1451	7.5%
3	1592	8.2%
4	1456	7.5%
5	1539	8.0%
6	1414	7.3%
7	1429	7.4%
8	1565	8.1%
9	1728	8.9%
10	1740	9.0%

Value	Count	Frequency (%)
12	1795	9.3%
11	1723	8.9%
10	1740	9.0%
9	1728	8.9%
8	1565	8.1%
7	1429	7.4%
6	1414	7.3%
5	1539	8.0%
4	1456	7.5%
3	1592	8.2%

ANO_DEF.1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2011.352579
Minimum	2007
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	2007
5-th percentile	2007
Q1	2009
median	2011
Q3	2014
95-th percentile	2016
Maximum	2016
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.870012355
Coefficient of variation (CV)	0.001426906642
Kurtosis	-1.223166562
Mean	2011.352579
Median Absolute Deviation (MAD)	2
Skewness	0.09535227155
Sum	38877434
Variance	8.23697092
Monotocity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2008	2166	11.2%
2009	2148	11.1%
2011	2027	10.5%
2010	2001	10.4%
2007	1926	10.0%
2016	1858	9.6%
2012	1841	9.5%
2015	1835	9.5%
2014	1789	9.3%
2013	1738	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2007	1926	10.0%
2008	2166	11.2%
2009	2148	11.1%
2010	2001	10.4%
2011	2027	10.5%
2012	1841	9.5%
2013	1738	9.0%
2014	1789	9.3%
2015	1835	9.5%
2016	1858	9.6%

Value	Count	Frequency (%)
2016	1858	9.6%
2015	1835	9.5%
2014	1789	9.3%
2013	1738	9.0%
2012	1841	9.5%
2011	2027	10.5%
2010	2001	10.4%
2009	2148	11.1%
2008	2166	11.2%
2007	1926	10.0%

FechaA
Date

Distinct	3636
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Minimum	2005-11-30 00:00:00
Maximum	2015-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

FechaD
Date

Distinct	3636
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Minimum	2006-11-30 00:00:00
Maximum	2016-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

FechaDesp
Date

Distinct	3636
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Minimum	2007-11-30 00:00:00
Maximum	2017-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

FECHA_DEF.1
Date

Distinct	3634
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

Minimum	2007-01-01 00:00:00
Maximum	2016-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

difa
Real number (ℝ)

HIGH CORRELATION

Distinct	720
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-361.0495111
Minimum	-729
Maximum	-1
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	-729
5-th percentile	-617
Q1	-467
median	-361
Q3	-253
95-th percentile	-108
Maximum	-1
Range	728
Interquartile range (IQR)	214

Descriptive statistics

Standard deviation	151.1715106
Coefficient of variation (CV)	-0.4187002225
Kurtosis	-0.5914062506
Mean	-361.0495111
Median Absolute Deviation (MAD)	107
Skewness	-0.02545592373
Sum	-6978726
Variance	22852.82562
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-365	74	0.4%
-362	71	0.4%
-367	63	0.3%
-338	62	0.3%
-357	61	0.3%
-326	61	0.3%
-366	61	0.3%
-320	61	0.3%
-363	60	0.3%
-331	60	0.3%
-392	60	0.3%
-380	59	0.3%
-356	58	0.3%
-378	58	0.3%
-371	57	0.3%
-379	56	0.3%
-374	56	0.3%
-340	56	0.3%
-332	55	0.3%
-404	55	0.3%
-397	55	0.3%
-398	55	0.3%
-373	55	0.3%
-427	55	0.3%
-376	55	0.3%
Other values (695)	17850	92.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-729	1	< 0.1%
-728	1	< 0.1%
-727	1	< 0.1%
-726	1	< 0.1%
-724	4	< 0.1%
-723	2	< 0.1%
-720	1	< 0.1%
-719	1	< 0.1%
-717	3	< 0.1%
-716	1	< 0.1%

Value	Count	Frequency (%)
-1	1	< 0.1%
-7	2	< 0.1%
-8	2	< 0.1%
-9	1	< 0.1%
-10	2	< 0.1%
-11	4	< 0.1%
-12	6	< 0.1%
-13	2	< 0.1%
-14	4	< 0.1%
-15	5	< 0.1%

difb
Real number (ℝ)

HIGH CORRELATION

Distinct	721
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.239174298
Minimum	-364
Maximum	364
Zeros	77
Zeros (%)	0.4%
Memory size	151.1 KiB

Quantile statistics

Minimum	-364
5-th percentile	-251
Q1	-102
median	4
Q3	113
95-th percentile	257
Maximum	364
Range	728
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	151.190752
Coefficient of variation (CV)	35.66514169
Kurtosis	-0.5911244413
Mean	4.239174298
Median Absolute Deviation (MAD)	107
Skewness	-0.02563747699
Sum	81939
Variance	22858.64349
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	77	0.4%
3	68	0.4%
-2	67	0.3%
39	65	0.3%
27	63	0.3%
-13	60	0.3%
-27	60	0.3%
-6	59	0.3%
10	59	0.3%
-15	58	0.3%
-12	57	0.3%
33	57	0.3%
34	57	0.3%
-8	57	0.3%
4	57	0.3%
-9	57	0.3%
25	56	0.3%
9	56	0.3%
2	56	0.3%
66	56	0.3%
5	55	0.3%
51	55	0.3%
-17	55	0.3%
-5	55	0.3%
16	55	0.3%
Other values (696)	17852	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-364	1	< 0.1%
-363	1	< 0.1%
-361	1	< 0.1%
-360	1	< 0.1%
-359	4	< 0.1%
-358	1	< 0.1%
-357	1	< 0.1%
-354	2	< 0.1%
-352	3	< 0.1%
-351	1	< 0.1%

Value	Count	Frequency (%)
364	1	< 0.1%
359	1	< 0.1%
358	2	< 0.1%
357	1	< 0.1%
356	2	< 0.1%
355	2	< 0.1%
354	8	< 0.1%
353	1	< 0.1%
352	3	< 0.1%
351	4	< 0.1%

difc
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	721
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	369.5395002
Minimum	1
Maximum	729
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	114
Q1	263
median	369
Q3	478
95-th percentile	622
Maximum	729
Range	728
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	151.187793
Coefficient of variation (CV)	0.4091248512
Kurtosis	-0.591195799
Mean	369.5395002
Median Absolute Deviation (MAD)	107
Skewness	-0.02554802518
Sum	7142829
Variance	22857.74876
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	70	0.4%
400	69	0.4%
356	64	0.3%
350	64	0.3%
369	63	0.3%
353	63	0.3%
411	62	0.3%
374	62	0.3%
368	61	0.3%
364	61	0.3%
367	60	0.3%
333	59	0.3%
372	59	0.3%
375	59	0.3%
392	59	0.3%
359	57	0.3%
405	57	0.3%
409	56	0.3%
391	56	0.3%
390	56	0.3%
338	55	0.3%
303	55	0.3%
339	55	0.3%
355	55	0.3%
363	55	0.3%
Other values (696)	17837	92.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
7	3	< 0.1%
8	1	< 0.1%
11	2	< 0.1%
13	2	< 0.1%
14	2	< 0.1%

Value	Count	Frequency (%)
729	1	< 0.1%
724	1	< 0.1%
723	2	< 0.1%
722	2	< 0.1%
721	1	< 0.1%
720	2	< 0.1%
719	9	< 0.1%
718	1	< 0.1%
717	3	< 0.1%
716	6	< 0.1%

dist_absoluta
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	184
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	90.43442496
Minimum	0
Maximum	183
Zeros	77
Zeros (%)	0.4%
Memory size	151.1 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	45
median	91
Q3	136
95-th percentile	173
Maximum	183
Range	183
Interquartile range (IQR)	91

Descriptive statistics

Standard deviation	52.75143254
Coefficient of variation (CV)	0.5833114167
Kurtosis	-1.199352976
Mean	90.43442496
Median Absolute Deviation (MAD)	46
Skewness	0.01049557407
Sum	1748007
Variance	2782.713635
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	132	0.7%
39	129	0.7%
2	124	0.6%
33	124	0.6%
125	124	0.6%
106	123	0.6%
182	123	0.6%
116	122	0.6%
110	122	0.6%
154	121	0.6%
63	121	0.6%
113	120	0.6%
105	120	0.6%
99	118	0.6%
134	118	0.6%
123	118	0.6%
177	117	0.6%
58	117	0.6%
12	117	0.6%
141	117	0.6%
126	116	0.6%
127	116	0.6%
16	116	0.6%
69	116	0.6%
103	115	0.6%
Other values (159)	16323	84.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	77	0.4%
1	95	0.5%
2	124	0.6%
3	110	0.6%
4	112	0.6%
5	111	0.6%
6	113	0.6%
7	103	0.5%
8	112	0.6%
9	114	0.6%

Value	Count	Frequency (%)
183	19	0.1%
182	123	0.6%
181	107	0.6%
180	102	0.5%
179	75	0.4%
178	93	0.5%
177	117	0.6%
176	93	0.5%
175	93	0.5%
174	110	0.6%

distancia_final
Real number (ℝ)

Distinct	366
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.160070361
Minimum	-183
Maximum	182
Zeros	77
Zeros (%)	0.4%
Memory size	151.1 KiB

Quantile statistics

Minimum	-183
5-th percentile	-163
Q1	-89
median	1
Q3	92
95-th percentile	164
Maximum	182
Range	365
Interquartile range (IQR)	181

Descriptive statistics

Standard deviation	104.6908599
Coefficient of variation (CV)	90.24526744
Kurtosis	-1.18571547
Mean	1.160070361
Median Absolute Deviation (MAD)	91
Skewness	-0.01514664363
Sum	22423
Variance	10960.17616
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	77	0.4%
156	72	0.4%
113	71	0.4%
39	70	0.4%
-141	70	0.4%
142	69	0.4%
3	68	0.4%
-2	67	0.3%
182	67	0.3%
-27	66	0.3%
27	66	0.3%
-123	66	0.3%
-103	66	0.3%
-61	65	0.3%
110	64	0.3%
-116	64	0.3%
106	64	0.3%
125	63	0.3%
-99	63	0.3%
80	63	0.3%
140	63	0.3%
-63	63	0.3%
-105	63	0.3%
100	63	0.3%
52	63	0.3%
Other values (341)	17673	91.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-183	19	0.1%
-182	56	0.3%
-181	55	0.3%
-180	58	0.3%
-179	41	0.2%
-178	48	0.2%
-177	63	0.3%
-176	42	0.2%
-175	44	0.2%
-174	48	0.2%

Value	Count	Frequency (%)
182	67	0.3%
181	52	0.3%
180	44	0.2%
179	34	0.2%
178	45	0.2%
177	54	0.3%
176	51	0.3%
175	49	0.3%
174	62	0.3%
173	53	0.3%

mes_suicidio
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.497283874
Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Memory size	151.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.722196761
Coefficient of variation (CV)	0.4924383673
Kurtosis	-1.284132274
Mean	3.497283874
Median Absolute Deviation (MAD)	2
Skewness	0.003717612907
Sum	67599
Variance	2.965961683
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6	3326	17.2%
1	3311	17.1%
4	3244	16.8%
2	3220	16.7%
5	3116	16.1%
3	3112	16.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3311	17.1%
2	3220	16.7%
3	3112	16.1%
4	3244	16.8%
5	3116	16.1%
6	3326	17.2%

Value	Count	Frequency (%)
6	3326	17.2%
5	3116	16.1%
4	3244	16.8%
3	3112	16.1%
2	3220	16.7%
1	3311	17.1%

bimestre
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	151.1 KiB

1	6531
3	6442
2	6356

Value	Count	Frequency (%)
1	6531	33.8%
3	6442	33.3%
2	6356	32.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	6531	33.8%
3	6442	33.3%
2	6356	32.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19329	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	6531	33.8%
3	6442	33.3%
2	6356	32.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	19329	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	6531	33.8%
3	6442	33.3%
2	6356	32.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19329	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	6531	33.8%
3	6442	33.3%
2	6356	32.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	DIA_NAC	MES_NAC	AÑONACIM	ANO1_NAC	ANO2_NAC	SEXO	EST_CIVIL	EDAD_TIPO	EDAD_CANT	RENGOETARIO_N	RANGO ETARIO	EDAD_LABORAL	CURSO_INS	NIVEL_INS	ACTIVIDAD	OCUPACION	CATEGORIA	FECHA_DEF	ESTACION N	ESTACION	DIA_SEMANA	DIA_DEF	MES_DEF	ANO_DEF	LUGAR_DEF	REG_RES	SERV_RES	COMUNA	DESC_COMUNA	URB_RURAL	DIAG1	DIAG2	MEC_SUICIDA	SUBTIPO_MEC	AT_MEDICA	CAL_MEDICO	DIA_NAC.1	MES_NAC.1	ANO1	ANO2	DIA_DEF.1	MES_DEF.1	ANO_DEF.1	FechaA	FechaD	FechaDesp	FECHA_DEF.1	difa	difb	difc	dist_absoluta	distancia_final	mes_suicidio	bimestre
0	13	4	1985	19	85	2	1	1	21	3	adulto joven	EdadLab_MED	3	1	0	3	0	2007-01-03	1	VERANO	miércoles	3	1	2007	2	1	2	1101	ARICA	1	T71X	X700	Lesión	Ahorcamiento	1	2	13	4	2006	2008	3	1	2007	2006-04-13	2007-04-13	2008-04-13	2007-01-03	-265	100	466	100	100	4	2
1	17	12	1975	19	75	1	1	1	31	3	adulto joven	EdadLab_MED	6	4	1	7	4	2007-01-07	1	VERANO	domingo	7	1	2007	2	1	2	1101	ARICA	1	T71X	X700	Lesión	Ahorcamiento	2	2	17	12	2006	2008	7	1	2007	2006-12-17	2007-12-17	2008-12-17	2007-01-07	-21	344	710	21	-21	1	1
2	9	6	1956	19	56	1	2	1	51	4	adulto	EdadLab_MAX	4	2	1	5	2	2007-09-16	4	INVIERNO	domingo	16	9	2007	3	1	2	1107	CAMARONES	1	T293	X768	Lesión	Por Fuego	2	2	9	6	2006	2008	16	9	2007	2006-06-09	2007-06-09	2008-06-09	2007-09-16	-464	-99	267	99	-99	4	2
3	28	9	1983	19	83	1	1	1	23	3	adulto joven	EdadLab_MED	4	2	1	X	2	2007-01-02	1	VERANO	martes	2	1	2007	1	2	3	2101	TOCOPILLA	1	T71X	X700	Lesión	Ahorcamiento	1	2	28	9	2006	2008	2	1	2007	2006-09-28	2007-09-28	2008-09-28	2007-01-02	-96	269	635	96	-96	4	2
4	24	4	1984	19	84	1	1	1	22	3	adulto joven	EdadLab_MED	4	2	1	7	2	2007-01-10	1	VERANO	miércoles	10	1	2007	1	2	3	2101	TOCOPILLA	1	S062	X740	Lesión	Arma de Fuego	1	2	24	4	2006	2008	10	1	2007	2006-04-24	2007-04-24	2008-04-24	2007-01-10	-261	104	470	104	104	4	2
5	7	2	1962	19	62	1	1	1	44	4	adulto	EdadLab_MAX	4	2	1	7	3	2007-01-10	1	VERANO	miércoles	10	1	2007	3	2	3	2101	TOCOPILLA	1	T012	X788	Lesión	Arma Cortante	2	2	7	2	2006	2008	10	1	2007	2006-02-07	2007-02-07	2008-02-07	2007-01-10	-337	28	393	28	28	1	1
6	24	4	1999	19	99	2	1	1	7	1	niño(a)	niño(a)	3	4	0	3	0	2007-01-13	1	VERANO	sábado	13	1	2007	2	2	3	2101	TOCOPILLA	1	T71X	X700	Lesión	Ahorcamiento	2	2	24	4	2006	2008	13	1	2007	2006-04-24	2007-04-24	2008-04-24	2007-01-13	-264	101	467	101	101	4	2
7	14	3	1971	19	71	1	2	1	35	3	adulto joven	EdadLab_MED	2	2	0	8	0	2007-01-19	1	VERANO	viernes	19	1	2007	2	2	3	2101	TOCOPILLA	1	T71X	X700	Lesión	Ahorcamiento	2	2	14	3	2006	2008	19	1	2007	2006-03-14	2007-03-14	2008-03-14	2007-01-19	-311	54	420	54	54	2	1
8	16	7	1987	19	87	1	1	1	19	2	Adolescente	EdadLab_TEM	2	2	0	3	0	2007-03-20	1	VERANO	martes	20	3	2007	2	1	2	1101	ARICA	1	T71X	X700	Lesión	Ahorcamiento	2	2	16	7	2006	2008	20	3	2007	2006-07-16	2007-07-16	2008-07-16	2007-03-20	-247	118	484	118	118	4	2
9	2	11	1979	19	79	1	1	1	27	3	adulto joven	EdadLab_MED	4	2	1	7	2	2007-02-15	1	VERANO	jueves	15	2	2007	3	2	3	2101	TOCOPILLA	1	T71X	X701	Lesión	Ahorcamiento	2	2	2	11	2006	2008	15	2	2007	2006-11-02	2007-11-02	2008-11-02	2007-02-15	-105	260	626	105	-105	4	2

Last rows

	DIA_NAC	MES_NAC	AÑONACIM	ANO1_NAC	ANO2_NAC	SEXO	EST_CIVIL	EDAD_TIPO	EDAD_CANT	RENGOETARIO_N	RANGO ETARIO	EDAD_LABORAL	CURSO_INS	NIVEL_INS	ACTIVIDAD	OCUPACION	CATEGORIA	FECHA_DEF	ESTACION N	ESTACION	DIA_SEMANA	DIA_DEF	MES_DEF	ANO_DEF	LUGAR_DEF	REG_RES	SERV_RES	COMUNA	DESC_COMUNA	URB_RURAL	DIAG1	DIAG2	MEC_SUICIDA	SUBTIPO_MEC	AT_MEDICA	CAL_MEDICO	DIA_NAC.1	MES_NAC.1	ANO1	ANO2	DIA_DEF.1	MES_DEF.1	ANO_DEF.1	FechaA	FechaD	FechaDesp	FECHA_DEF.1	difa	difb	difc	dist_absoluta	distancia_final	mes_suicidio	bimestre
19319	22	1	1978	19	78	1	1	1	38	3	adulto joven	EdadLab_MED	4	4	1	5	3	2016-08-27	4	INVIERNO	sábado	27	8	2016	3	8	17	8401	LOS ANGELES	1	T58X	X678	Envenenamiento	Gases y Vapores	9	2	22	1	2015	2017	27	8	2016	2015-01-22	2016-01-22	2017-01-22	2016-08-27	-583	-218	148	148	148	5	3
19320	23	8	1947	19	47	1	3	1	69	5	adulto mayor	Edad_AVAN	0	5	1	6	4	2016-08-28	4	INVIERNO	domingo	28	8	2016	3	8	17	8401	LOS ANGELES	2	T609	X689	Envenenamiento	Plaguicidas	9	2	23	8	2015	2017	28	8	2016	2015-08-23	2016-08-23	2017-08-23	2016-08-28	-371	-5	360	5	-5	1	1
19321	21	8	1973	19	73	1	1	1	43	4	adulto	EdadLab_MAX	8	4	1	6	3	2016-08-29	4	INVIERNO	lunes	29	8	2016	3	8	17	8416	ALTO BIOBIO	2	T71X	X708	Lesión	Ahorcamiento	9	2	21	8	2015	2017	29	8	2016	2015-08-21	2016-08-21	2017-08-21	2016-08-29	-374	-8	357	8	-8	1	1
19322	28	7	1986	19	86	1	2	1	30	3	adulto joven	EdadLab_MED	4	2	1	5	2	2016-08-31	4	INVIERNO	miércoles	31	8	2016	3	8	17	8405	NACIMIENTO	1	T71X	X708	Lesión	Ahorcamiento	9	2	28	7	2015	2017	31	8	2016	2015-07-28	2016-07-28	2017-07-28	2016-08-31	-400	-34	331	34	-34	2	1
19323	17	8	1956	19	56	1	2	1	60	4	adulto	EdadLab_MAX	8	4	1	5	4	2016-08-30	4	INVIERNO	martes	30	8	2016	2	8	28	8201	CONCEPCION	1	T71X	X709	Lesión	Ahorcamiento	9	2	17	8	2015	2017	30	8	2016	2015-08-17	2016-08-17	2017-08-17	2016-08-30	-379	-13	352	13	-13	1	1
19324	1	5	1941	19	41	2	1	1	75	5	adulto mayor	Edad_AVAN	5	1	0	5	0	2016-08-25	4	INVIERNO	jueves	25	8	2016	2	9	21	9108	LUMACO	2	T58X	X670	Envenenamiento	Gases y Vapores	9	2	1	5	2015	2017	25	8	2016	2015-05-01	2016-05-01	2017-05-01	2016-08-25	-482	-116	249	116	-116	4	2
19325	11	4	1968	19	68	1	1	1	48	4	adulto	EdadLab_MAX	5	1	1	7	2	2016-08-29	4	INVIERNO	lunes	29	8	2016	3	9	21	9115	LONQUIMAY	2	T71X	X708	Lesión	Ahorcamiento	9	2	11	4	2015	2017	29	8	2016	2015-04-11	2016-04-11	2017-04-11	2016-08-29	-506	-140	225	140	-140	5	3
19326	3	3	1980	19	80	1	1	1	36	3	adulto joven	EdadLab_MED	8	4	1	x	4	2016-08-27	4	INVIERNO	sábado	27	8	2016	2	14	22	14202	LAMPA	1	T71X	X700	Lesión	Ahorcamiento	2	2	3	3	2015	2017	27	8	2016	2015-03-03	2016-03-03	2017-03-03	2016-08-27	-543	-177	188	177	-177	6	3
19327	22	12	1977	19	77	2	1	1	38	3	adulto joven	EdadLab_MED	2	2	1	7	3	2016-08-28	4	INVIERNO	domingo	28	8	2016	3	10	24	10101	VALDIVIA	2	T71X	X708	Lesión	Ahorcamiento	9	2	22	12	2015	2017	28	8	2016	2015-12-22	2016-12-22	2017-12-22	2016-08-28	-250	116	481	116	116	4	2
19328	16	10	1989	19	89	1	1	1	26	3	adulto joven	EdadLab_MED	4	2	1	6	2	2016-08-30	4	INVIERNO	martes	30	8	2016	3	10	33	10203	PUERTO OCTAY	2	T71X	X708	Lesión	Ahorcamiento	9	2	16	10	2015	2017	30	8	2016	2015-10-16	2016-10-16	2017-10-16	2016-08-30	-319	47	412	47	47	2	1

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most frequent Open Punctuation characters

Most frequent Close Punctuation characters

Most frequent Uppercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most frequent None characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Connector Punctuation characters

Most frequent Open Punctuation characters

Most frequent Close Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most frequent None characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters